Java Backend Developer

Pay Rate: $74.00 - $78.00 Negotiable based upon years of experience
Location: Irving, TX
Work Mode: Hybrid

Responsibilities:

• Design, develop, and maintain scalable backend services and microservices using Java (17) and Spring Boot.
• Build and optimize RESTful APIs and distributed systems ensuring high availability, performance, and security.
• Lead system design, architecture decisions, and code reviews to enforce best practices.
• Integrate AI/ML capabilities and third-party AI services/APIs into backend systems to enable intelligent workflows and automation.
• Leverage AI-assisted development tools (e.g., GitHub Copilot, ChatGPT) to improve productivity, code quality, and testing efficiency.
• Develop and maintain infrastructure as code (IaC) and automated testing frameworks using JUnit and Mockito; incorporate intelligent/AI-driven testing techniques where applicable.
• Collaborate with cross-functional teams including frontend (Angular/React), QA, DevOps, and product teams.
• Implement and manage CI/CD pipelines, DevOps practices, and containerized deployments.
• Perform database design and optimization using Oracle, SQL, and PL/SQL.
• Monitor and support production applications using observability tools; apply intelligent monitoring and anomaly detection techniques.
• Conduct root cause analysis, debugging, and performance tuning.
• Ensure adherence to coding standards, security policies, and compliance requirements.
• Mentor junior developers and promote adoption of modern engineering and AI-enabled practices.
• Stay updated with emerging technologies in backend engineering, cloud platforms, and AI-driven development.

Requirements:

• Minimum 7 years of experience in Java and Spring (Spring Core, Spring Boot, Hibernate) development.
• Strong expertise in object-oriented design, microservices architecture, and distributed systems.
• Required Skills:
  • Java 17
  • Spring Core, Spring Boot, Hibernate
  • JUnit, Mockito testing frameworks
  • Oracle concepts, SQL, PL/SQL
  • Angular 15
• Strong experience with DevOps practices, CI/CD pipelines, and branching strategies.
• Familiarity with AI-assisted development tools and understanding of AI/ML concepts.
• Hands-on experience with test automation and quality engineering practices.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).

Preferred Skills:

• Experience with React.
• Familiarity with Kafka (or similar messaging/streaming technologies).
• Experience with Appian or BPM tools.
• Knowledge of BPMN tools (RHPAM, IBM BAMOE).
• Applied understanding of DevOps tools and containerization (Docker Compose).
• Exposure to AI-driven testing, predictive analytics, or intelligent automation frameworks.
• Awareness of event-driven architecture and observability tools.
• Certifications in cloud, DevOps, or AI/ML technologies are a plus.

Education:

• Bachelor’s/University degree or equivalent experience, potentially Master’s degree/MBA.